Data Science Analytics: The Foundation
Learn the Skills You Need to Excel as a Future Data Science Analyst
Data Science Analytics
This data science analytics bootcamp offers a complete grasp of data analysis methods, tools, and tech. With theory and hands-on practice, you’ll master data manipulation, cleansing, and visualization. It covers basic statistics, exploratory analysis, and blending machine learning with data insights. The bootcamp ends with a hands-on project, applying skills to real-world data using Power BI.
Skills you'll pick up
During this class, you’ll pick up a range of skills for your career
- Welcome and orientation
- Overview of the bootcamp curriculum
- Understanding the role of a data analyst
- Introduction to data analysis tools and technologies
- Introduction to data sources and data types
- Data cleaning techniques and best practices
- Using Python/R for data manipulation
- Hands-on exercises with real datasets
- Importance of data visualization in analysis
- Introduction to data visualization libraries (e.g., Matplotlib, Seaborn)
- Creating effective charts and graphs
- Introduction to Power BI as a data visualization tool
- Connecting Power BI to different data sources
- Understanding descriptive statistics concepts
- Univariate and bivariate analysis
- Exploratory data analysis (EDA) techniques using Power BI
- Visualizing and interpreting data with Power BI
- Introduction to Pandas library in Python
- Data manipulation and analysis with Pandas
- Exporting data from Pandas to Power BI for visualization
- Building interactive dashboards in Power BI
- Excel essentials for data science analysts
- Data manipulation and functions in Excel
- Integrating Excel data with Power BI for advanced visualization
- Building dynamic reports and dashboards in Power BI
- Understanding the basics of machine learning
- Supervised and unsupervised learning algorithms
- Building and evaluating machine learning models in Power BI
- Incorporating machine learning insights into Power BI dashboards
- Group-based capstone project using Power BI for data visualization and analysis
- Apply knowledge and skills gained throughout the bootcamp, including Power BI capabilities
- Present findings and insights, visualized through Power BI dashboards
Career Transformation
Get ahead in your career
RM 14,999
- Expert mentorship and coaching from industry professionals
- Personalized career planning and goal setting
- Hands-on experience in real-world projects and case studies
- Skill development in areas such as communication, leadership, and teamwork
Ready to advance your career? Apply now for our program now!
Meet The Trainers
Adjunct Associated Professor, Taylor's University
As a Ph.D. holder in artificial intelligence, a passionate trainer, and a digital marketer, his expertise in big data science, machine learning, deep learning, and immersive technology is well-demonstrated through more than 18 years of experience in various information technology industries.
He has been a certified trainer by HRD Corp. (Human Resource Development Fund) (TTT: Train the Trainer). He has conducted numerous training courses for companies and universities. In addition, he is an active trainer of professional courses in data science and analytics and applied artificial intelligence engineering organized by Brickfields Asia College, Kuala Lumpur, Malaysia. He has trained a total of 2000+ trainees to date.
Senior Data Scientist, Malayan Banking Berhad
• Data Scientist with 4 years of experience in the field of statistics, data science, and analytics.
• Industries; Food and Beverage, Manufacturing, Engineering, Airline, Healthcare, Telecommunication and Banking.
• PhD Researcher (Statistics and Mathematics) at University of Malaya.
• Research Scientist at University of Malaya Medical Center (Unsupervised Brain Research) & Top Glove Group Engineering (Glove Defect Detection).
• Technical Trainer at Taylor’s University & Malaysian Institute of Accountants (MIA).
Career Options
The future talent can help you become a leader in your field, inspiring others and driving innovation and growth.
01
Data Science Analyst
Collects, processes, and analyzes data to provide insights for business decisions across different industries.
02
Business Intelligence Analyst
Uses data to guide strategic choices by creating visual presentations like dashboards and reports for stakeholders.
03
Market Research Analyst
Specializes in studying market trends, consumer preferences, and competition to aid companies in targeted marketing decisions.
04
Financial Analyst
Applies data analysis to financial information, tracking market patterns, and making predictions for investments or a company’s financial well-being.
05
Healthcare Data Science Analyst
Analyzes patient information, medical records, and health trends to enhance patient care, improve operations, and support medical research.
06
E-commerce Analyst
Vital for e-commerce growth, these analysts use data to understand customer actions, enhance online shopping, and refine sales strategies for digital retailers.
